4 Scalatest Jobs

Job Description We are looking for a passionate Data Engineer to join our agile team. You will be #LI-hybrid (Hybrid work schedule) based in Hyderabad and reporting to Director Engineering. You will help build high-quality solutions that meet the highest technical standards and deliver value to our customers. The ideal candidate will have 5+yrs of experience in the software development lifecycle, a strong understanding of business needs, and responsibility for the products and services we deliver. Collaborate with an agile team to develop quality solutions within deadlines. Support and enhance the full product lifecycle through effective collaboration. Review proposals, evaluate alternatives, provide estimates, and make recommendations. Serve as an expert on applications and provide technical support. Revise, update, refactor, and debug both new and existing codebases. Support the development of other team members. Qualifications Degree, HND, or HNC in a software development discipline, or equivalent commercial experience in developing applications deployed on AWS. Minimum 5+yrs of experience Expertise with the full development lifecycle. Able to explain solutions to both technical and non-technical audiences. Ability to write clean, scalable code, with a focus on design patterns and best practices. Proficiency with Application Lifecycle Management Tools (e.g., GIT, Jira, Confluence). Familiarity with CI/CD pipeline tools. Expertise in Scala development & with Spark Framework Familiarity with AWS technologies. Commitment to staying updated with the latest terminology, concepts, and best practices. Desired Skills: Understanding of Agile methodologies. AWS Developer Certification. Expertise in Python, Openshift/Kubernetes Proficiency with automated testing tools (e.g., Scalatest). Knowledge of RESTful and microservice architectures. Expertise in Terraform or CloudFormation. Familiarity with SonarQube and Veracode. Additional Information Our uniqueness is that we celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what matters DEI, work/life balance, development, authenticity, collaboration, wellness, reward & recognition, volunteering... the list goes on. Experian's people first approach is award-winning World's Best Workplaces 2024 (Fortune Global Top 25), Great Place To Work in 24 countries, and Glassdoor Best Places to Work 2024 to name a few. Check out Experian Life on social or our Careers Site and Glassdoor to understand why. Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is a critical part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, color, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity. Benefits Experian care for employee's work life balance, health, safety and wellbeing. In support of this endeavor, we offer best-in-class family well-being benefits, enhanced medical benefits and paid time off. Experian Careers - Creating a better tomorrow together Experian Careers - Creating a better tomorrow together

As a Scala Developer at our company, you will play a crucial role in designing, building, and enhancing our clients" online platform to ensure optimal performance and reliability. Your responsibilities will include researching, proposing, and implementing cutting-edge technology solutions while adhering to industry best practices and standards. You will be accountable for the resilience and availability of various products and will collaborate closely with a diverse team to achieve collective goals. To excel in this role, we are seeking a highly skilled Scala Developer with over 7 years of experience in crafting scalable and high-performance backend systems. Your expertise in functional programming, familiarity with contemporary data processing frameworks, and proficiency in working within cloud-native environments will be invaluable. You will be tasked with designing, creating, and managing backend services and APIs using Scala, optimizing existing codebases for enhanced performance, scalability, and reliability, and ensuring the development of clean, maintainable, and well-documented code. Collaboration is key in our team, and you will work closely with product managers, frontend developers, and QA engineers to deliver exceptional results. Your role will also involve conducting code reviews, sharing knowledge, and mentoring junior developers to foster a culture of continuous improvement. Experience with technologies such as Akka, Play Framework, and Kafka, as well as integration with SQL/NoSQL databases and external APIs, will be essential in driving our projects forward. Your hands-on experience with Scala and functional programming principles, coupled with your proficiency in RESTful APIs, microservices architecture, and API integration, will be critical in meeting the demands of the role. A solid grasp of concurrency, asynchronous programming, and stream processing, along with familiarity with SQL/NoSQL databases and tools like SBT or Maven, will further enhance your contributions to our team. Exposure to Git, Docker, and CI/CD pipelines, as well as a comfort level in Agile/Scrum environments, will be advantageous. Moreover, your familiarity with Apache Spark, Kafka, or other big data tools, along with experience in cloud platforms like AWS, GCP, or Azure, and an understanding of DevOps practices, will position you as a valuable asset in our organization. Proficiency in testing frameworks such as ScalaTest, Specs2, or Mockito will round out your skill set and enable you to deliver high-quality solutions effectively. In return, we offer a stimulating and innovative work environment where you will have ample opportunities for learning and professional growth. Join us in shaping the future of our clients" online platform and making a tangible impact in the digital realm.,

As an experienced Big Data Engineer with 6 to 8 years of experience, you will be responsible for designing, developing, and maintaining robust and scalable data processing applications using Apache Spark with Scala. Your key responsibilities include implementing and managing complex data workflows, conducting performance optimization and memory tuning for Spark jobs, and working proficiently with Apache Hive for data warehousing and HDFS for distributed storage within the Hadoop ecosystem. You will utilize your strong hands-on experience with Apache Spark using Scala, Hive, and HDFS, along with proficiency in Oozie workflows, ScalaTest, and Spark performance tuning. Your deep understanding of Spark UI, YARN logs, and debugging distributed jobs will be essential in diagnosing and resolving complex issues in distributed data systems to ensure data accuracy and pipeline efficiency. In addition, you will demonstrate expertise in writing comprehensive unit tests using ScalaTest and following best practices for building scalable and reliable data pipelines. Your familiarity with Agile/Scrum methodologies will enable you to work within an Agile/Scrum environment, collaborating with cross-functional teams to deliver high-quality data solutions. Moreover, your working knowledge of CI/CD pipelines, GitHub, Maven, and Nexus will be utilized for continuous integration, delivery, and version control. Your ability to write unit tests and follow best practices for scalable data pipelines will contribute to the successful execution of data projects in an enterprise-level distributed data system environment. Overall, you will play a crucial role in the development, optimization, and maintenance of data processing applications, ensuring high performance, reliability, and efficiency in data workflows within the Big Data platform. (Note: This job description is based on the provided information and is intended to give a standard summary description in the second person format. Headers have been omitted for the final JD.),

Must Have: 610 years of overall experience in QA, with proven expertise as an Automation Tester in Data Engineering or Data Warehousing projects. Hands-on experience with Docker. Experience working on any cloud platform (e.g., AWS, Azure, or GCP). Strong command of automation testing frameworks like Pytest or Scalatest. Solid experience in SQL and data validation techniques. Familiarity with data processing tools/technologies such as: ETL frameworks Hadoop Apache Spark Hive/Behive In-depth understanding of Software Development Life Cycle (SDLC) and Agile methodologies. Ability to write efficient, reusable, and maintainable test scripts for data-centric systems. Strong debugging and problem-solving capabilities. Excellent communication and team collaboration skills. Good to Have: Familiarity with additional automation tools like: Selenium TestNG JUnit or similar.